Claude 3.5 Sonnet vs Gemini 1.5 Pro
Wins 1 of 3 areas
Coding
Wins 2 of 3 areas
Reasoning · Images and charts
Gemini 1.5 Pro is the stronger all-rounder.Claude 3.5 Sonnet is better at coding.
Scores updated · 66 tests both models report · How we compare
Where each one wins
Tests won in each of the three areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Gemini 1.5 Pro pulls ahead
- Visual perception tasks people solve at a glanceBLINK+4.5points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+2.9points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+1.4points ahead
Where Claude 3.5 Sonnet pulls ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+14.8points ahead
- College exam questions with charts, maps and diagramsMMMU+2.4points ahead
- Code for real scientific research problemsSciCode+2.1points ahead
Every test, side by side
All 66 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude 3.5 Sonnet
- SWE-bench VerifiedClaude 3.5 Sonnet by 14.84934.2+14.8
- SciCodeClaude 3.5 Sonnet by 2.131.629.5+2.1
ReasoningGemini 1.5 Pro
- GPQA DiamondGemini 1.5 Pro by 2.95658.9+2.9
- Humanity's Last ExamGemini 1.5 Pro by 1.43.24.6+1.4
- SimpleBenchtie27.527.1tie
Images and chartsGemini 1.5 Pro
Other results56 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- AIR-Bench 2024Claude 3.5 Sonnet by 18.685.967.3+18.6
- HarmBenchClaude 3.5 Sonnet by 18.298.179.9+18.2
- MMMU (val) (Pass@1)Claude 3.5 Sonnet by 14.268.354.1+14.2
- POPE (test)Gemini 1.5 Pro by 12.776.689.3+12.7
- InterGPS (test)Gemini 1.5 Pro by 12.645.658.2+12.6
- DROPClaude 3.5 Sonnet by 12.287.174.9+12.2
- ScienceQA (img-test)Gemini 1.5 Pro by 12.273.886+12.2
- MATHGemini 1.5 Pro by 11.471.182.5+11.4
- HumanEvalClaude 3.5 Sonnet by 9.693.784.1+9.6
- MMLUClaude 3.5 Sonnet by 9.288.779.5+9.2
- HumanEval 0-shotClaude 3.5 Sonnet by 7.99284.1+7.9
- Video-MME OverallGemini 1.5 Pro by 6.755.962.6+6.7
- Arena HardGemini 1.5 Pro by 6.179.285.3+6.1
- MMMU (validation)Claude 3.5 Sonnet by 6.168.362.2+6.1
- TextVQA-valClaude 3.5 Sonnet by 670.564.5+6
- GSM8KClaude 3.5 Sonnet by 5.696.490.8+5.6
- MMBench (dev en)Gemini 1.5 Pro by 5.682.387.9+5.6
- MEGA-Bench_macroClaude 3.5 Sonnet by 5.551.445.9+5.5
- M-LongDoc (multimodal long-document benchmark)Claude 3.5 Sonnet by 5.231.426.2+5.2
- SimpleQAClaude 3.5 Sonnet by 528.423.4+5
- naturalquestions_closedbookClaude 3.5 Sonnet by 4.650.245.5+4.6
- MGSMClaude 3.5 Sonnet by 4.191.687.5+4.1
- Chinese SimpleQA (C-SimpleQA)Gemini 1.5 Pro by 455.459.4+4
- BBHClaude 3.5 Sonnet by 3.993.189.2+3.9
- BIG-Bench Hard 3-shot CoTClaude 3.5 Sonnet by 3.993.189.2+3.9
- DocVQAClaude 3.5 Sonnet by 3.795.291.5+3.7
- OlympiadBenchGemini 1.5 Pro by 3.728.432.1+3.7
- MTOB eng → kalam (ChrF) no contextClaude 3.5 Sonnet by 3.420.216.8+3.4
- XSTestGemini 1.5 Pro by 3.295.698.8+3.2
- IFEvalGemini 1.5 Pro by 2.986.589.4+2.9
- simple_safety_testsClaude 3.5 Sonnet by 2.510097.5+2.5
- Artificial Analysis Coding IndexClaude 3.5 Sonnet by 2.42623.6+2.4
- LiveCodeBenchClaude 3.5 Sonnet by 2.332.830.5+2.3
- MTOB eng → kalam (ChrF) full bookGemini 1.5 Pro by 2.255.657.9+2.2
- ChartQAClaude 3.5 Sonnet by 2.190.888.7+2.1
- ChartQA_relaxedClaude 3.5 Sonnet by 2.190.888.7+2.1
- DocVQA (test, ANLS score)Claude 3.5 Sonnet by 2.195.293.1+2.1
- RULER 128KClaude 3.5 Sonnet by 2.193.891.7+2.1
- OpenBookQAClaude 3.5 Sonnet by 297.295.2+2
- MMLU-ProClaude 3.5 Sonnet by 1.877.675.8+1.8
- MTOB kalam → eng (BLEURT) half bookGemini 1.5 Pro by 1.859.761.5+1.8
- RULER 64KClaude 3.5 Sonnet by 1.495.293.8+1.4
- NarrativeQAGemini 1.5 Pro by 174.675.6+1
- MTOB kalam → eng (BLEURT) full booktie62.363.1tie
- Ruler 32ktie9595.8tie
- AA Intelligencetie7.27.9tie
- IFEval (avg)tie90.189.4tie
- MTOB kalam → eng (BLEURT) no contexttie31.432tie
- DROP (F1)tie88.889.2tie
- AI2Dtie94.794.4tie
- MBPP+ (EvalPlus-augmented)tie75.175.4tie
- Ruler 16ktie95.796tie
- Ruler 4ktie96.596.2tie
- anthropic_red_teamtie99.899.9tie
- MTOB eng → kalam (ChrF) half booktie53.653.7tie
- Ruler 8ktie9696tie
Questions people ask
Which is better, Claude 3.5 Sonnet or Gemini 1.5 Pro?
Gemini 1.5 Pro wins two of the three areas where both have results: reasoning and images and charts. Claude 3.5 Sonnet wins coding.
Which is better for coding?
Claude 3.5 Sonnet. It wins 2 of the 2 coding tests both models report; Gemini 1.5 Pro wins none.
How do you compare the two?
We use the 66 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 56 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.